This paper is a comprehensive literature review of Biased Random-Key Genetic Algorithms
(BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with …

In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

Grou** problems are a special type of combinatorial optimization problems that have
gained great relevance because of their numerous real-world applications. The solution …

Consensus is an important issue in group decision making as it aims to avoid future
contestation by the decision makers. The elicitation of criteria and decision makers' weights …

With the rapid urbanization, solving the facility location and size problem (FLSP) of general
service infrastructure (GSI) has become an essential issue in spatial planning. Due to …

Facility location decisions play a critical role in the design of supply chain networks. This
chapter outlines key features of facility location problems and their integration with various …

In this paper, we advance the state of the art for solving the Permutation Flowshop
Scheduling Problem with total flowtime minimization. For this purpose, we propose a Biased …

In the class of supply chain problems, the Two-Stage Capacitated Facility Location (TSCFL)
is defined by optimal locations for installing factories and warehouses to meet the demand of …

Nowadays, the great diffusion of the Internet of Things and the improvements in Artificial
Intelligence techniques have given a rise in the development and application of data‐driven …

This study proposes a mixed-integer multi-objective integrated mathematical model solving
facility location and order allocation optimisation problems simultaneously in a two-echelon …